75 citations · 133 across the 3 of their papers we have counts for
5 papers · 1 filter
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
J Hoogland, J IntHout, M Belias +6
Randomized trials typically estimate average relative treatment effects, but decisions on the benefit of a treatment are possibly better informed by more individualized predictions…
A regression-based method for detecting publication bias in multivariate meta-analysis
Chuan Hong, Jing Zhang, Yang Li +3
Publication bias occurs when the publication of research results depends not only on the quality of the research but also on its nature and direction. The consequence is that publi…
Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches
Glen P. Martin, Matthew Sperrin, Kym I. E. Snell +2
Clinical prediction models (CPMs) are used to predict clinically relevant outcomes or events. Typically, prognostic CPMs are derived to predict the risk of a single future outcome.…
Testing small study effects in multivariate meta-analysis
Chuan Hong, Georgia Salanti, Sally Morton +4
Small study effects occur when smaller studies show different, often larger, treatment effects than large ones, which may threaten the validity of systematic reviews and meta-analy…
A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects
Dan Jackson, Sylwia Bujkiewicz, Martin Law +2
Random-effects meta-analyses are very commonly used in medical statistics. Recent methodological developments include multivariate (multiple outcomes) and network (multiple treatme…